Found 665 results
Type [ Year(Desc)]
B Sun, Y CAO, Z Guo, Z Yan, S Wen, T Huang, and Y Chen. "Sliding Mode Stabilization of Memristive Neural Networks With Leakage Delays and Control Disturbance." Ieee Transactions on Neural Networks and Learning Systems 32, no. 3 (2021): 1254-1263.
J Sun, A Li, B Wang, H Yang, H Li, and Y Chen. "Soteria: Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective." In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 9307-9315. 2021.
J Mao, H Yang, A Li, H Li, and Y Chen. "TPrune: Efficient Transformer Pruning for Mobile Devices." Acm Transactions on Cyber Physical Systems 5, no. 3 (2021).
NA Inkawhich, EK Davis, MJ Inkawhich, UK Majumder, and Y Chen. "Training SAR-ATR Models for Reliable Operation in Open-World Environments." Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 (2021): 3954-3966.
M Pang, B Wang, YM Cheung, Y Chen, and B Wen. "VD-GAN: A Unified Framework for Joint Prototype and Representation Learning from Contaminated Single Sample per Person." Ieee Transactions on Information Forensics and Security 16 (2021): 2246-2259.
B Yan, JL Hsu, PC Yu, CC Lee, Y Zhang, W Yue, G Mei, Y Yang, H Li, Y Chen et al. "A 1.041-Mb/mm227.38-TOPS/W Signed-INT8 Dynamic-Logic-Based ADC-less SRAM Compute-in-Memory Macro in 28nm with Reconfigurable Bitwise Operation for AI and Embedded Applications." In Digest of Technical Papers Ieee International Solid State Circuits Conference, 188-190. Vol. 2022-February. 2022.
J Zhang, J Tang, Y Chen, J Liu, J Ye, M Wolf, V Narayanan, M Srivastava, MI Jordan, and V Bahl. "The 5th Artificial Intelligence of Things (AIoT) Workshop." In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 4912-4913. 2022.
C Ogbogu, AI Arka, BK Joardar,, H Li, K Chakrabarty, and PP Pande. "Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 41, no. 11 (2022): 3626-3637.
Z Li, Q Zheng, B Yan, R Huang, B Li, and Y Chen. "ASTERS: Adaptable Threshold Spike-timing Neuromorphic Design with Twin-Column ReRAM Synapses." In Proceedings Design Automation Conference, 1099-1104. 2022.
Z Gao, M Tang, A Li, and Y Chen. "An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors." In Proceedings International Symposium on Quality Electronic Design, Isqed. Vol. 2022-April. 2022.
G Feng, B Kim, and HH Li. "Bionic Robust Memristor-Based Artificial Nociception System for Robotics." In Proceedings Ieee International Symposium on Circuits and Systems, 3552-3556. Vol. 2022-May. 2022.
X Chen, D Li, Y Chen, and J Xiong. "Boosting the sensing granularity of acoustic signals by exploiting hardware non-linearity." In HotNets 2022 - Proceedings of the 2022 21st ACM Workshop on Hot Topics in Networks, 53-59. 2022.
X Yang, H Yang, J Zhang, HH Li, and Y Chen. "On Building Efficient and Robust Neural Network Designs." In Conference Record Asilomar Conference on Signals, Systems and Computers, 317-321. Vol. 2022-October. 2022.
E Hanson, S Li, HH Li, and Y Chen. "Cascading Structured Pruning: Enabling High Data Reuse for Sparse DNN Accelerators." In Proceedings International Symposium on Computer Architecture, 522-535. 2022.
B Taylor, N Ramos, E Yeats, and H Li. "CMOS Implementation of Spiking Equilibrium Propagation for Real-Time Learning." In Proceeding - IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, 283-286. 2022.
Z Xie, S Li, M Ma, CC Chang, J Pan, Y Chen, and J Hu. "DEEP: Developing extremely efficient runtime on-chip power meters." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad. 2022.
Y Zhang, Y Chen, and Y Mi. "Editorial: Machine learning for computational neural modeling and data analyses." Frontiers in Computational Neuroscience 16 (2022).
M Tang, X Ning, Y Wang, J Sun, H Li, and Y Chen. "FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning." In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 10092-10101. Vol. 2022-June. 2022.
J Sun, A Li, L Duan, S Alam, X Deng, X Guo, H Wang, M Gorlatova, M Zhang, H Li et al. "FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices." In SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 106-119. 2022.
B Wang, A Li, M Pang, H Li, and Y Chen. "GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs." In Proceedings Ieee International Conference on Data Mining, Icdm, 498-507. Vol. 2022-November. 2022.
Y Chen, and Q Qiu. "Guest Editorial: IEEE TC Special Issue on Software, Hardware and Applications for Neuromorphic Computing." Ieee Transactions on Computers 71, no. 11 (2022): 2705-2706.
HH Li. "Guest Editorial Special Issue on the International Symposium on Integrated Circuits and Systems - ISICAS 2022." Ieee Transactions on Circuits and Systems I: Regular Papers 69, no. 12 (2022): 4730.
HH Li, AR Alameldeen, and O Mutlu. "Guest Editors' Introduction: Near-Memory and In-Memory Processing." Ieee Design & Test 39, no. 2 (2022): 46-47.
C Wu, X Yang, H Yu, R Peng, I Takeuchi, Y Chen, and M Li. "Harnessing optoelectronic noises in a photonic generative network." Science Advances 8, no. 3 (2022).
H Yang, X Yang, NZ Gong, and Y Chen. "HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance." In Proceedings Design Automation Conference, 25-30. 2022.